multiagent-systems

Build AI Agents, Visually

Must-read Papers on LLM Agents.

The Open Source Memory Layer For Autonomous Agents

Build, run and scale AI agents like API and microservices

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.

A selection of state-of-the-art research materials on trajectory prediction

Building LLM-Enabled Multi Agent Applications from Scratch

freephdlabor: customizing personalized multiagent systems that researchs 24/7 on your own scientific problem

Shared Memory Storage for Multi-Agent Systems

CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework

Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver,Crewai,etc

Not just slides - delivery-ready talks

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP

AI NourishBot is an AI-powered nutrition assistant that leverages advanced vision models and natural language processing to detect ingredients from food images, filter ingredients based on dietary restrictions, estimate calories, provide detailed nutrient analysis, and generate recipe suggestions.

Panacea is a framework for building collaborative, intelligent multi agent AI systems. The framework provides a robust infrastructure for creating and managing multiple AI agents, and enables developers and organizations to build, deploy, and optimize AI agents that work well in dynamic, complex environments.

A Multi-Agent RAG platform using Vector DBs and AI models to accurately answer AML/CFT compliance queries.